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Nature Computational Science (2)
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Showing 1–3 of 3 results

Advanced filters: Author: Giovanni Forchini Clear advanced filters

A mathematical model of H5N1 influenza transmission in US dairy cattle

Influenza A H5N1 is an increasing concern in cattle herds in the United States. Here, the authors use mathematical modelling to estimate the size of the current epidemic, predict states at risk in the future, and highlight gaps in data collection.

Thomas Rawson
Christian Morgenstern
Neil Ferguson
ResearchOpen Access08 May 2025
Nature Communications

Volume: 16, P: 1-12
Optimizing social and economic activity while containing SARS-CoV-2 transmission using DAEDALUS

Smart pandemic mitigation strategies are proposed to strategically close higher-risk economic sectors, while allowing dozens of other economic sectors to continue. This would enable schools to remain open and keep hospitalizations within capacity.

David J. Haw
Giovanni Forchini
Katharina D. Hauck
Research28 Apr 2022
Nature Computational Science

Volume: 2, P: 223-233
Optimal national prioritization policies for hospital care during the SARS-CoV-2 pandemic

Countries are using hospital admission policies that prioritize patients with COVID-19 during the pandemic. The authors propose an alternative open-source framework to optimally schedule hospital care for all diseases and patients that can save life years overall.

Josh C. D’Aeth
Shubhechyya Ghosal
Marisa Miraldo
ResearchOpen Access13 Aug 2021
Nature Computational Science

Volume: 1, P: 521-531